The Impact of Neurophysiological Monitoring during Intradural Spinal Tumor Surgery.
Furkan IlhanSébastien BoulogneAlexis MorgadoCorentin DauleacNathalie André-ObadiaJulien JungPublished in: Cancers (2024)
Surgery for spinal cord tumors poses a significant challenge due to the inherent risk of neurological deterioration. Despite being performed at numerous centers, there is an ongoing debate regarding the efficacy of pre- and intraoperative neurophysiological investigations in detecting and preventing neurological lesions. This study begins by providing a comprehensive review of the neurophysiological techniques commonly employed in this context. Subsequently, we present findings from a cohort of 67 patients who underwent surgery for intradural tumors. These patients underwent preoperative and intraoperative multimodal somatosensory evoked potentials (SSEPs) and motor evoked potentials (MEPs), with clinical evaluation conducted three months postoperatively. The study aimed to evaluate the neurophysiological, clinical, and radiological factors associated with neurological outcomes. In univariate analysis, preoperative and intraoperative potential alterations, tumor size, and ependymoma-type histology were linked to the risk of worsening neurological condition. In multivariate analysis, only preoperative and intraoperative neurophysiological abnormalities remained significantly associated with such neurological deterioration. Interestingly, transient alterations in intraoperative MEPs and SSEPs did not pose a risk of neurological deterioration. The machine learning model we utilized demonstrated the possibility of predicting clinical outcome, achieving 84% accuracy.
Keyphrases
- patients undergoing
- spinal cord
- minimally invasive
- end stage renal disease
- machine learning
- ejection fraction
- newly diagnosed
- coronary artery bypass
- peritoneal dialysis
- spinal cord injury
- prognostic factors
- clinical evaluation
- surgical site infection
- patient reported outcomes
- risk assessment
- coronary artery disease
- percutaneous coronary intervention
- subarachnoid hemorrhage
- data analysis
- water quality